Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy.
Intrafractional motion
Principal component analysis
Prostate cancer
Journal
Physics and imaging in radiation oncology
ISSN: 2405-6316
Titre abrégé: Phys Imaging Radiat Oncol
Pays: Netherlands
ID NLM: 101704276
Informations de publication
Date de publication:
Oct 2021
Oct 2021
Historique:
received:
20
01
2021
revised:
15
09
2021
accepted:
15
09
2021
entrez:
18
10
2021
pubmed:
19
10
2021
medline:
19
10
2021
Statut:
epublish
Résumé
Devices that combine an MR-scanner with a Linac for radiotherapy, referred to as MR-Linac systems, introduce the possibility to acquire high resolution images prior and during treatment. Hence, there is a possibility to acquire individualised learning sets for motion models for each fraction and the construction of intrafractional motion models. We investigated the feasibility for a principal component analysis (PCA) based, intrafractional motion model of the male pelvic region. 4D-scans of nine healthy male volunteers were utilized, FOV covering the entire pelvic region including prostate, bladder and rectum with manual segmentation of each organ at each time frame. Deformable image registration with an optical flow algorithm was performed for each subject with the first time frame as reference. PCA was performed on a subset of the resulting displacement vector fields to construct individualised motion models evaluated on the remaining fields. The registration algorithm produced accurate registration result, in general DICE overlap An individualised intrafractional male pelvic motion model is feasible. Geometric accuracy was about 1 mm based on 1-2 principal components.
Sections du résumé
BACKGROUND AND PURPOSE
OBJECTIVE
Devices that combine an MR-scanner with a Linac for radiotherapy, referred to as MR-Linac systems, introduce the possibility to acquire high resolution images prior and during treatment. Hence, there is a possibility to acquire individualised learning sets for motion models for each fraction and the construction of intrafractional motion models. We investigated the feasibility for a principal component analysis (PCA) based, intrafractional motion model of the male pelvic region.
MATERIALS AND METHODS
METHODS
4D-scans of nine healthy male volunteers were utilized, FOV covering the entire pelvic region including prostate, bladder and rectum with manual segmentation of each organ at each time frame. Deformable image registration with an optical flow algorithm was performed for each subject with the first time frame as reference. PCA was performed on a subset of the resulting displacement vector fields to construct individualised motion models evaluated on the remaining fields.
RESULTS
RESULTS
The registration algorithm produced accurate registration result, in general DICE overlap
CONCLUSIONS
CONCLUSIONS
An individualised intrafractional male pelvic motion model is feasible. Geometric accuracy was about 1 mm based on 1-2 principal components.
Identifiants
pubmed: 34660917
doi: 10.1016/j.phro.2021.09.004
pii: S2405-6316(21)00054-3
pmc: PMC8502906
doi:
Types de publication
Journal Article
Langues
eng
Pagination
17-22Informations de copyright
© 2021 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Phys Med Biol. 2011 Sep 21;56(18):6009-30
pubmed: 21865624
J Magn Reson Imaging. 2010 Jan;31(1):101-9
pubmed: 19938046
Strahlenther Onkol. 2011 Jul;187(7):426-32
pubmed: 21713396
Radiother Oncol. 2020 Oct;151:88-94
pubmed: 32622779
Radiother Oncol. 2013 Dec;109(3):344-9
pubmed: 24183863
Phys Med Biol. 2011 Feb 21;56(4):1045-61
pubmed: 21258137
Med Phys. 2005 Aug;32(8):2590-7
pubmed: 16193789
Int J Radiat Oncol Biol Phys. 2005 Jun 1;62(2):406-17
pubmed: 15890582
Int J Radiat Oncol Biol Phys. 2000 Jul 1;47(4):1121-35
pubmed: 10863086
Med Phys. 2008 Jan;35(1):81-8
pubmed: 18293565
Phys Med Biol. 2005 Dec 21;50(24):5893-908
pubmed: 16333162
Phys Med Biol. 2016 Jul 21;61(14):5335-55
pubmed: 27362636
IEEE Trans Med Imaging. 2001 Jul;20(7):568-82
pubmed: 11465464
Med Image Anal. 2013 Jan;17(1):19-42
pubmed: 23123330
Int J Radiat Oncol Biol Phys. 2014 Nov 1;90(3):664-72
pubmed: 25151540
Med Phys. 2009 Mar;36(3):961-73
pubmed: 19378757
Int J Radiat Oncol Biol Phys. 2008 Sep 1;72(1):236-46
pubmed: 18722274
Phys Med Biol. 2013 Jan 21;58(2):319-33
pubmed: 23257319
Radiat Oncol. 2020 Jul 10;15(1):168
pubmed: 32650811
Med Phys. 2007 Dec;34(12):4772-81
pubmed: 18196805
Int J Radiat Oncol Biol Phys. 2009 Sep 1;75(1):260-7
pubmed: 19515507
Phys Med Biol. 2012 Jun 21;57(12):3693-709
pubmed: 22614733
Med Image Anal. 2012 Jan;16(1):252-64
pubmed: 21959365
Radiother Oncol. 2017 Feb;122(2):236-241
pubmed: 27707505